11 citations · 13 across the 2 of their papers we have counts for
2 papers
eess.IV2021★ 2 cited
A Fast MR Fingerprinting Simulator for Direct Error Estimation and Sequence Optimization
Siyuan Hu, Stephen Jordan, Rasim Boyacioglu +5
MR Fingerprinting is a novel quantitative MR technique that could simultaneously provide multiple tissue property maps. When optimizing MRF scans, modeling undersampling errors and…
eess.IV2020★ 11 cited
Game of Learning Bloch Equation Simulations for MR Fingerprinting
Mingrui Yang, Yun Jiang, Dan Ma +2
Purpose: This work proposes a novel approach to efficiently generate MR fingerprints for MR fingerprinting (MRF) problems based on the unsupervised deep learning model generative a…